Shape reconstruction from endoscope image by its shadings

Koichiro Deguchi

Research output: Contribution to conferencePaperpeer-review

14 Citations (Scopus)

Abstract

This paper describes a total image processing to reconstructing a shape from endoscope images. We already developed a shape reconstruction procedure from endoscope image sequence, and produced global 3D sketch of object shape from image sequence taken by a moving endoscope. Here, we propose a method to obtain fine 3D structure from its shading based on the global sketch. We consider the shape from shading problem in the case where a point light source is at the projection center. This condition well approximates the imaging system of an endoscope. In this case, the image gray level depends on not only the gradient of the object surface but also the distance from the light source to each point on the surface. To deal with this difficulty, we introduce the evolution equation for equal-distance contours on the surface. Propagating this contour by solving the equation, we can reconstruct a shape. Experimental results for real medical endoscope images of a human stomach inner wall show feasibility of this method, and present a promising technique for morphological analysis of tumors on human inner organs.

Original languageEnglish
Pages321-328
Number of pages8
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems - Washington, DC, USA
Duration: 1996 Dec 81996 Dec 11

Other

OtherProceedings of the 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems
CityWashington, DC, USA
Period96/12/896/12/11

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering

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